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Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

Quant Q&A
20,364 documents
SuperMind
12,226 documents
OKX Learn
8,431 documents
Strategy library
7,910 documents
MQL5 code base
7,090 documents
BigQuant
3,481 documents
Bitget Academy
3,298 documents
MQL5 articles
3,012 documents
TradingView scripts
1,976 documents
ProRealCode
1,507 documents
Deribit Insights
1,232 documents
Machine Learning for Trading
1,124 documents
arXiv papers
1,033 documents
Amberdata research
766 documents
FMZ forum
682 documents
FMZ digest
662 documents
vn.py community
560 documents
QuantInsti blog
511 documents
Galaxy Research
340 documents
QuantStart
246 documents
Stratmill research code
219 documents
Robot Wealth
195 documents
NautilusTrader
191 documents
Hummingbot docs
181 documents
Paradigm research
175 documents
Lumibot
164 documents
Kraken Learn
163 documents
Quant course library
157 documents
OctoBot
152 documents
Cryptohopper blog
144 documents
Systematic trading blog (Rob Carver)
132 documents
Qlib
116 documents
TqSdk
86 documents
Quantpedia
86 documents
Hyperliquid docs
79 documents
Freqtrade
68 documents
Hudson & Thames
62 documents
Awesome Systematic Trading
61 documents
backtrader
54 documents
vn.py
50 documents
Binance API docs
45 documents
Quantopian lectures
45 documents
FMZ guides
38 documents
pysystemtrade
34 documents
Freqtrade docs
32 documents
quant-trading
31 documents
FinRL
28 documents
Zipline
22 documents
FMZ live strategies
21 documents
Jesse
17 documents
pyfolio
16 documents
Alphalens
14 documents
WonderTrader
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

12,226 documents

SuperMind

This note describes a short-term A-share selection rule combining three filters: intraday amplitude above 1, a top-five ranking by today’s opening-auction amount, and prior-day auction turnover above 0.26. It frames the combination as a way to find stocks…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This stock-selection screen combines three conditions: daily amplitude above one, a top-five rank by the day’s auction amount, and rising lows. The rising-lows condition is described as comparing the minimum low over a shorter recent window with the minimum…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post proposes selecting stocks with RSI below a stated ceiling, seven consecutive sessions in which the close is no higher than the open, and a share price below a specified level. The article frames the RSI and down-day conditions as technical filters…

China marketsEquitiesMean reversionTechnical indicators
SuperMind

This post describes a stock-selection screen for Chinese equities that requires MACD to be above zero, a rising 30-day moving average, and a company-type criterion intended to represent business quality. The technical conditions are presented as signs of…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This post outlines an A-share stock screen combining a daily trading-range condition, a qualifying company type, and a dividend payout ratio above a stated threshold for 2019. It explains the range condition as a way to select stocks with price movement and…

China marketsEquitiesFactor investingTechnical indicators
SuperMind

The post describes an equity screen combining a technical condition, a fundamental growth condition, and a market-activity condition. It selects stocks with RSI below 65, year-over-year growth in parent-company net profit above 20% and at most 100%, and a…

EquitiesTechnical indicatorsMomentumFactor investing
SuperMind

This opinion article argues that retail traders face disadvantages against quantitative firms in short-term trading because of differences in data processing, execution speed, and trading infrastructure. It describes how large orders can be divided into many…

EquitiesChina marketsHigh-frequency tradingMarket microstructure
SuperMind

This note outlines a Chinese equity screen combining price amplitude above 1, exclusion of ST-designated stocks, selection before 10 a.m., a five-session price-pattern condition, and seven consecutive declining sessions. It provides formula and Python…

EquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening note describes selecting equities with turnover between 3% and 12%, seven consecutive declining sessions, and a closing price above the five-day moving average. Its formula and Python example also check that the latest close is…

EquitiesTechnical indicatorsMomentum
SuperMind

This note proposes screening stocks for daily amplitude above 1%, a 2021 date condition, and return on equity above 15% for five consecutive years. Its final version adds valuation limits of price-to-earnings below 30 and price-to-book below 5. The rationale…

EquitiesChina marketsFactor investingVolatility
SuperMind

This proposed Chinese equity screen selects main-board stocks whose codes begin with 60, with RSI below 65 and a daily gain above 1%. Its examples describe a technical filter that also checks a stochastic-style J/D crossover and proximity of the opening…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes an A-share stock screen combining daily price amplitude above 1, a morning-star pattern, and positive price-to-earnings ratio. It presents the pattern as a short-term technical signal and positive P/E as a basic profitability filter. It…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This Chinese A-share screening proposal targets stocks in the metaverse concept group. It requires the closing price to exceed its five-day moving average and applies a bounded filter based on prior-day turnover and current auction volume relative to traded…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This article outlines a Chinese A-share stock screen beginning with companies classified in a metaverse sector, positive recent returns, and a daily high-low range greater than one percent of the prior close. It then proposes refining the selection to stocks…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This A-share screening idea combines a price-range condition, a short-term trend filter, and a measure that relates yesterday’s turnover to today’s auction volume versus yesterday’s volume. It selects stocks whose average price is above the five-day moving…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The document outlines a Chinese stock screen requiring daily high-low amplitude above 1%, a positive measure of prior-day main-fund flow, and RSI below 65, with the formula reference specifying a three-period RSI. It presents these conditions as a way to…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

The document proposes screening Chinese stocks with RSI below 65, seven consecutive down sessions, and large-order net flow above 0.05 for at least three consecutive days. Its final version adds a market-capitalization range of 5–10 billion yuan, while the…

China marketsEquitiesTechnical indicatorsStatistics
SuperMind

This proposed Chinese equity screen selects stocks with a 14-period RSI below 65 and first-level buy volume greater than first-level sell volume, while excluding Beijing-listed shares. The article interprets RSI as a price-condition indicator and the…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This stock screen combines turnover, recent price change, and the ratio of externally classified to internally classified trading volume. Its stated criteria are turnover from 3% to 12%, a positive ten-day gain below 35%, and an outside-to-inside volume…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

The document presents a Chinese equities screening idea: select stocks with turnover between 3% and 12%, a positive return over the prior 10 days below 35%, and an opening price near the 10-day moving average. Its example code adds further filters, including…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language post proposes a stock screen combining price movement and liquidity conditions: an amplitude threshold, at least one large daily gain within the past 25 trading days, and turnover between 3% and 12%. It frames the screen as potentially…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The proposed stock screen selects shares with a daily high-low range of at least one percent and relative volume between 1.5 and 6 times its five-day average. It also filters on company or industry classification, with consumer and healthcare sectors offered…

EquitiesTechnical indicatorsChina markets